Predict Annual Restaurant Sales based on objective measurements

------Sites Selection for TFI Company

Objectives

• TFI is the company behind some of the world’s most well known brands: Burger king, Sbarro, Popeyes, Usta Donerci, and Arby’s with over 1,200 quick service restaurants across the globe.• The goal of this analysis is to predict the

annual restaurant sales of 100,1000 regional locations using demographic, real estate, and commercial data.

Datasets

• Training datasets are stored in company’s relational database, we extracted useful features and conducted data cleansing.• Potential drivers include location, open

time, demographic data gathered by third party provider with GIS systems, real estate data and commercial data. (Denoted as P1-P37)

Training Dataset

Modeling• GAM model with a log transformation turns

out to be the best with criteria minimizing mean square error.• Significant driers of revenue are:• City Type ( Large or Regular)• Restaurant Type (Food Court/Inline/Drive

Throu / Moble)• P17 (Number of schools nearby)• P26 (Average Salary of Residents nearly)• P28 (Number of competitors)

Results

Potential Location for BK:

Appendix:•Part of code: